Systems and methods for conducting more reliable assessments with connectivity statistics
The described systems and methods address the challenge of quantifying connectivity in network communities by employing graph traversal and parallel computing to calculate trust ratings, facilitating informed decision-making and automated transactions.
US12381798B2Active Publication Date: 2025-08-05WWW TRUSTSCI COM INC
109 Cites 0 Cited by
Patent Information
- Application Number
- US18/606102
- Authority / Receiving Office
- US · United States
- Patent Type
- Patents(United States)
- Current Assignee / Owner
- Priority Date
- 2010-03-05
- Filing Date
- 2024-03-15
- Publication Date
- 2025-08-05
- Estimated Expiration
- 2031-03-03
AI Technical Summary
Technical Problem
Quantifying and comparing connectivity information within network communities is challenging due to varying credibility, subjective and objective data forms, and rapid changes in individual or entity relationships, complicating real-world decision-making.
Method used
Systems and methods for determining connectivity using graph traversal and normalization techniques, including path counting, weighted links, and parallel computational frameworks to calculate trust ratings and update connectivity values dynamically.
Benefits of technology
Provides reliable and dynamic connectivity ratings for network nodes, enabling informed real-world decisions and automated transactions based on trustworthiness and competence.
✦ Generated by Eureka AI based on patent content.
Abstract
Systems and methods for social graph data analytics to determine the connectivity between nodes within a community are provided. A user may assign user connectivity values to other members of the community, or connectivity values may be automatically harvested, calculated, or assigned from third parties or based on the frequency of interactions between members of the community. Connectivity values may represent such factors as alignment, reputation, status, and / or influence within a social graph within the network community, or the degree of trust. The paths connecting a first node to a second node may be retrieved, and social graph data analytics may be used to determine a network connectivity value from all or a subset of all of the retrieved paths and / or one or more connectivity statistics value associated with the first node and / or the second node. A parallel computational framework may operate in connection with a key-value store to perform some or all of the computations related to the connectivity determinations. Network connectivity values and / or other social graph data may be outputted to third-party processes and services for use in initiating automatic transactions or making automated network-based or real-world decisions.
Need to check novelty before this filing date? Find Prior Art